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      Reef larval recruitment in response to seascape dynamics in the SW Atlantic

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          Abstract

          Advances in satellite observation have improved our capacity to track changes in the ocean with numerous ecological and conservation applications, which are yet under-explored for coastal ecology. In this study, we assessed the spatio-temporal dynamics in invertebrate larval recruitment and the Seascape Pelagic Habitat Classification, a satellite remote-sensing product developed by the Marine Biodiversity Observation Network (MBON) and delivered by the US National Oceanic and Atmospheric Administration to monitor biodiversity globally. Our ultimate goal was to identify and predict changes in coastal benthic assemblages at tropical reefs in the SW Atlantic based on integrated pelagic conditions, testing the use of MBON Seascape categorization. Our results revealed that the pelagic Seascapes correlated with monthly and seasonal variations in recruitment rates and assemblage composition. Recruitment was strongly influenced by subtropical Seascapes and was reduced by the presence of warm waters with high-nutrient contents and phytoplankton blooms, which are likely to affect reef communities in the long term. Recruitment modeling indicates that Seascapes may be more efficient than sea surface temperature in predicting benthic larval dynamics. Based on historical Seascape patterns, we identified seven events that may have impacted benthic recruitment in this region during the last decades. These findings provide new insights into the application of novel satellite remote-sensing Seascape categorizations in benthic ecology and evidence how reef larval supply in the SW Atlantic could be impacted by recent and future ocean changes.

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          Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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            Global warming and recurrent mass bleaching of corals

            During 2015–2016, record temperatures triggered a pan-tropical episode of coral bleaching, the third global-scale event since mass bleaching was first documented in the 1980s. Here we examine how and why the severity of recurrent major bleaching events has varied at multiple scales, using aerial and
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              More intense, more frequent, and longer lasting heat waves in the 21st century.

              A global coupled climate model shows that there is a distinct geographic pattern to future changes in heat waves. Model results for areas of Europe and North America, associated with the severe heat waves in Chicago in 1995 and Paris in 2003, show that future heat waves in these areas will become more intense, more frequent, and longer lasting in the second half of the 21st century. Observations and the model show that present-day heat waves over Europe and North America coincide with a specific atmospheric circulation pattern that is intensified by ongoing increases in greenhouse gases, indicating that it will produce more severe heat waves in those regions in the future.
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                Author and article information

                Contributors
                ac.mazzuco@me.com
                angelo.bernardino@ufes.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 May 2022
                11 May 2022
                2022
                : 12
                : 7750
                Affiliations
                GRID grid.412371.2, ISNI 0000 0001 2167 4168, Benthic Ecology Group, Department of Oceanography and Ecology, , Universidade Federal do Espírito Santo, ; Av. Fernando Ferrari, 514, Vitória, ES 29075-910 Brazil
                Author information
                http://orcid.org/0000-0002-8971-4119
                http://orcid.org/0000-0002-1838-4597
                Article
                11809
                10.1038/s41598-022-11809-1
                9095688
                35546605
                c7687c42-fcbc-4558-8cb6-6f36071ede1a
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 27 August 2021
                : 11 April 2022
                Funding
                Funded by: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
                Award ID: 88887.185758/2018-00
                Award Recipient :
                Funded by: Conselho Nacional de Desenvolvimento Científico e Tecnológico
                Award ID: 441243/2016-9
                Award Recipient :
                Funded by: Fundação de Amparo a Pesquisa do Estado do Espírito Santo
                Award ID: 371008/2017-4
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                ocean sciences,biodiversity,community ecology,ecological modelling
                Uncategorized
                ocean sciences, biodiversity, community ecology, ecological modelling

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